{"id":"W4229002757","doi":"10.3390/geosciences12050199","title":"Numerical Modelling Challenges in Rock Engineering with Special Consideration of Open Pit to Underground Mine Interaction","year":2022,"lang":"en","type":"article","venue":"Geosciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Open-pit mining; Rock mass classification; Context (archaeology); Computer simulation; Numerical models; Numerical modeling; Engineering; Computer science; Civil engineering; Mining engineering; Geology; Simulation; Geophysics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003903637,0.0007744313,0.00148111,0.0009872533,0.001193362,0.004208216,0.002412502,0.003892239,0.002001127],"category_scores_gemma":[0.007795865,0.0007472026,0.001483601,0.0009760328,0.005865419,0.00484558,0.003625533,0.004486915,0.0006778086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001117897,"about_ca_system_score_gemma":0.001591801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002083506,"about_ca_topic_score_gemma":0.002206476,"domain_scores_codex":[0.9976427,0.001152727,0.0001448431,0.0002740482,0.0007021612,0.0000834368],"domain_scores_gemma":[0.9955105,0.00322543,0.0002935929,0.0003841693,0.000436652,0.0001497402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001661147,0.00003709812,0.0009619598,0.0005243974,0.0000455658,0.0002458307,0.0004667838,0.2544686,0.001220924,0.7080008,0.003475,0.03053636],"study_design_scores_gemma":[0.00001354407,0.00005018736,0.0004572682,0.0003604723,0.00001882083,0.0003442494,0.0004417659,0.3031566,0.0004509086,0.645106,0.0495418,0.00005838482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02032437,0.03382657,0.888051,0.03006112,0.001763896,0.00006278329,0.0001563349,0.0002407122,0.02551315],"genre_scores_gemma":[0.4637989,0.05302651,0.4601593,0.002623907,0.004007166,0.0003942075,0.0001863762,0.0003608266,0.0154428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004208216,"threshold_uncertainty_score":0.02064466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06172051179532018,"score_gpt":0.2540472887639717,"score_spread":0.1923267769686515,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}